News website perceived quality; a comparative study for news websites in Indonesia

2016 ◽  
Author(s):  
Angtyasti Jiwasiddi ◽  
Rumondang Puji Nur Suci ◽  
Roberttus Tang Herman ◽  
Paul Weiss
Keyword(s):  
Comparative Study ◽  
Perceived Quality ◽  
News Websites ◽  
News Website

Why User Comments Affect the Perceived Quality of Journalistic Content

2019 ◽  
Vol 31 (1) ◽  
pp. 24-34 ◽  
Author(s):  
Patrick Weber ◽  
Fabian Prochazka ◽  
Wolfgang Schweiger
Keyword(s):  
Perceived Quality ◽  
News Article ◽  
Brand Awareness ◽  
News Item ◽  
Negative Effects ◽  
Psychological Mechanisms ◽  
User Comments ◽  
News Websites ◽  
News Website

Abstract. User comments on news websites are frequently uncivil and are not supported by reasoned argumentation. These characteristics can have negative effects on the perceived quality of the commented-on journalistic content, yet to date, it remains unclear how such effects occur. We propose three mechanisms that assume that the effect of user comments depends on how deliberately and elaborately the quality of the commented-on news item is judged. We conducted an experiment ( N = 633) in which we varied the level of civility and reasoning in the comments accompanying a news article and the brand of the news website on which it was presented. The results showed that a lack of reasoning in the comments decreased the perceived quality of the news item irrespective of brand awareness, but only with high elaboration during judgment. Incivility in the comments decreased the perceived quality of the journalistic content, but only with low elaboration, and only with an unknown news brand. We discuss different psychological mechanisms that can explain this pattern of effects.

Analyzing News Website from Publicly Accessible Data

2013 ◽  
Author(s):  
Yijun Gao
Keyword(s):  
Online Survey ◽  
Web Server ◽  
Log Data ◽  
News Stories ◽  
News Websites ◽  
News Website ◽  
Survey Results ◽  
Data Source ◽  
Site Web ◽  
The Web

This study finds some publicly available data, such as the comments posted to the news stories and online survey results, could be an alternative data source for researchers to analyze news websites when the Web server log data are not available.Cette étude indique que les chercheurs pourraient utiliser des données publiques, comme les commentaires de reportages publiés en ligne et les résultats de sondages électroniques, pour analyser les site Web d’information lorsque les journaux transactionnels des serveurs ne sont pas accessibles. 

Comparative Study of the Perceived Quality of Life of Patients in Treatment for Cocaine and Heroin Dependence in Spain: Differences by Gender and Time in Treatment

2014 ◽  
Vol 49 (10) ◽  
pp. 1353-1358 ◽  
Author(s):  
Claudia Cristina Morales-Manrique ◽  
Sófía Tomás-Dols ◽  
María Zarza-González ◽  
Antonio Vidal-Infer ◽  
F. Javier Álvarez ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Comparative Study ◽  
Perceived Quality ◽  
Heroin Dependence ◽  
Perceived Quality Of Life ◽  
Time In Treatment

scholarly journals Sarcasm Discernment on Social Media Platform

2021 ◽  
Vol 309 ◽  
pp. 01037
Author(s):  
Namasani Sagarika ◽  
Bommadi Sreenija Reddy ◽  
Vanka Varshitha ◽  
Kodavati Geetanjali ◽  
N V Ganapathi Raju ◽  
...  
Keyword(s):  
Social Media ◽  
High Quality ◽  
Social Media Platform ◽  
Sole Purpose ◽  
News Websites ◽  
News Website ◽  
Current Events ◽  
Media Platform ◽  
News Headlines

Past studies in Sarcasm Detection mostly make use of Twitter datasets collected using hashtag-based supervision but such datasets are noisy in terms of labels and language. To overcome the limitations related to noise in Twitter datasets, this News Headlines dataset for Sarcasm Detection is collected from two news website. TheOnion aims at producing sarcastic versions of current events and we collected all the headlines from News in Brief and News in Photos categories (which are sarcastic). We collect real (and non-sarcastic) news headlines from Huff Post. Sarcasm Detection on social media platform. The dataset is collected from two news websites, theonion.com and huffingtonpost.com. Since news headlines are written by professionals in a formal manner, there are no spelling mistakes and informal usage. This reduces the sparsity and also increases the chance of finding pre-trained embeddings. Furthermore, since the sole purpose of TheOnion is to publish sarcastic news, we get high-quality labels with much less noise as compared to Twitter datasets. Unlike tweets that reply to other tweets, the news headlines obtained are self-contained.

The effects of using photos in Arabic news websites on the audience’s comprehension and recall: A pilot research

2021 ◽  
Vol 00 (00) ◽  
pp. 1-21
Author(s):  
Khaled Gaweesh ◽  
Manar Daher
Keyword(s):  
Experimental Design ◽  
University Students ◽  
Interdisciplinary Research ◽  
Coding Theory ◽  
Theoretical Framework ◽  
Dual Coding ◽  
Dual Coding Theory ◽  
News Content ◽  
News Websites ◽  
News Website

This interdisciplinary research aims to examine the effects of photos used in Arabic news websites on both comprehension and recall among readers. The dual-coding theory was used as a theoretical framework. The research used an experimental design of two groups to test the effects of photos on comprehension and recall of the news content included in two news websites created specifically for the experiment. Two groups of 80 university students have participated voluntarily in the experiment. The results indicated that the use of photos in the news website has increased significantly the levels of both comprehension and recall among respondents.

Study of the Automatic Evaluation of Website Quality from Customer Insight

2015 ◽  
pp. 178-197 ◽  
Author(s):  
Molood Arman ◽  
Hassan Hajipoor ◽  
Babak Sohrabi
Keyword(s):  
Online News ◽  
Customer Relationship ◽  
Automatic Evaluation ◽  
Technical Aspects ◽  
Customer Insight ◽  
News Websites ◽  
News Website ◽  
Relationship Of ◽  
The Relationship

Effectiveness of websites is largely dependent on the quality of the website. The biggest share of the quality`s new concept is that the technical aspects of products and services combines with customers usage and understanding. Therefore websites evaluation based on the maximum usage and perception of the customers is considered an important issue to announce to the related organizations the success of website from customers' views. This customer relationship need a kind of management that first step of that for future decision needs knowledge about the websites features, customer insight and the position of websites among the competitors. One of the available media is the online news websites which their success is highly dependent on the relationship of their users. In this article achieving the information of websites is automatic and without the intervention of human so that the instant evaluation could be possible and used method is TOPSIS combined with information entropy to rank 791 news website which have most visitors of the Iranian users based on Alexa ranking report.

Hypertext in online news stories

2014 ◽  
Vol 21 (2) ◽  
pp. 163-178
Author(s):  
Luuk Lagerwerf ◽  
Daniël Verheij
Keyword(s):  
Perceived Control ◽  
Personal Characteristics ◽  
Online News ◽  
Plain Text ◽  
News Stories ◽  
Additional Information ◽  
News Websites ◽  
News Website ◽  
Dependent Variables

News websites struggle tailoring news stories to divergent needs of online news users. We examined a way to bridge these needs by representing sources in hypertext. News items were designed to be short and concise, with hyperlinks citing sources. Readers could either ignore hyperlinks or explore additional information from the hyperlinked sources. We expected that appreciation for these news stories would be moderated by personal characteristics, namely hypertext comfort and desirability of control. In a 2 (hyperlink presence) x 2 (directness of speech) experiment, two news stories were manipulated for a Dutch national news website (NOS.nl). For each story, four variants were developed: Text containing hyperlinks, plain text only, citing the sources directly, citing in the words of the journalist. Dependent variables were perceived control, appreciation, and absorption in the story. Results showed that news stories with hyperlinked sources affected perceived control positively, especially for those with a high desirability of control. Directness of speech did not have any effects. The relation between hypertext and appreciation was mediated by perceived control.

Hot News Recommendation System across Heterogonous Websites Using Hadoop

2014 ◽  
Vol 989-994 ◽  
pp. 4704-4707
Author(s):  
Sheng Wu Xu ◽  
Zheng You Xia
Keyword(s):  
Recommendation System ◽  
Research Work ◽  
Big Data Analytics ◽  
Data Set ◽  
Set Size ◽  
News Websites ◽  
News Website ◽  
News Recommendation ◽  
News Services ◽  
Excellent Tool

The current most news recommendations are suitable for news which comes from a single news website, not for news from different news websites. Little research work has been reported on utilizing hundreds of news websites to provide top hot news services for group customers (e.g. Government staffs). In this paper, we present hot news recommendation system based on Hadoop, which is from hundreds of different news websites. We discuss our news recommendation system architecture based on Hadoop.We conclude that Hadoop is an excellent tool for web big data analytics and scales well with increasing data set size and the number of nodes in the cluster. Experimental results demonstrate the reliability and effectiveness of our method.

Integrating collaborative topic modeling and diversity for movie recommendations during news browsing

Kybernetes ◽  
2019 ◽  
Vol 49 (11) ◽  
pp. 2633-2649
Author(s):  
Duen-Ren Liu ◽  
Yun-Cheng Chou ◽  
Ciao-Ting Jian
Keyword(s):  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Online News ◽  
Content Type ◽  
Online Evaluation ◽  
News Websites ◽  
News Website ◽  
Recommendation Diversity ◽  
Cross Type ◽  
News Online

Purpose Online news websites provide diverse article topics, such as fashion news, entertainment and movie information, to attract more users and create more benefits. Recommending movie information to users reading news online can enhance the impression of diverse information and may consequently improve benefits. Accordingly, providing online movie recommendations can improve users’ satisfactions with the website, and thus is an important trend for online news websites. This study aims to propose a novel online recommendation method for recommending movie information to users when they are browsing news articles. Design/methodology/approach Association rule mining is applied to users’ news and movie browsing to find latent associations between news and movies. A novel online recommendation approach is proposed based on latent Dirichlet allocation (LDA), enhanced collaborative topic modeling (ECTM) and the diversity of recommendations. The performance of proposed approach is evaluated via an online evaluation on a real news website. Findings The online evaluation results show that the click-through rate can be improved by the proposed hybrid method integrating recommendation diversity, LDA, ECTM and users’ online interests, which are adapted to the current browsing news. The experiment results also show that considering recommendation diversity can achieve better performance. Originality/value Existing studies had not investigated the problem of recommending movie information to users while they are reading news online. To address this problem, a novel hybrid recommendation method is proposed for dealing with cross-type recommendation tasks and the cold-start issue. Moreover, the proposed method is implemented and evaluated online in a real world news website, while such online evaluation is rarely conducted in related research. This work contributes to deriving user’s online preferences for cross-type recommendations by integrating recommendation diversity, LDA, ECTM and adaptive online interests. The research findings also contribute to increasing the commercial value of the online news websites.

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